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Data Engineer

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NTT DATA

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Location:
India , Chennai

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Data Engineer role at NTT DATA involves creating and maintaining data pipelines, applying machine learning algorithms, and working with Big Data and Cloud technologies. Candidates should have at least 3 years of experience in relevant technologies such as Hadoop, Docker, and Kubernetes. The position is based in Chennai, India, and offers opportunities for growth within a leading technology services company.

Job Responsibility:

  • Given the input from the Data Scientist and Data Modeler, create the data pipeline to ingest, cleanse and standardize the data so that it can be ready for analysis
  • Once the data is processed, apply the machine learning algorithm as prescribed by the Data Scientist with the production performance readiness
  • Once the result is processed, activate the models through either Micro Services, Rporting, Dashboard, or emails

Requirements:

  • Experience with Big Data Technologies or Cloud Technologies building data pipelines
  • DevOPs Experience (source control, continuous integration, deployments, etc.)
  • Experience with containerization and related technologies (e.g. Docker, Kubernetes)
  • Experience in other open-sources like Druid, Elastic Search, Logstash etc
  • Advanced knowledge of the Hadoop ecosystem and Big Data technologies
  • Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
  • System level understanding - Data structures, algorithms, distributed storage & compute
  • Exposure and / or development experience in Microservices Architectures best practices
  • Experience around REST APIs, services, and API authentication schemes
  • Knowledge in RDBMS and NoSQL technologies
  • 3+ years of the following experience: Experience with Big Data Technologies or Cloud Technologies building data pipelines
  • DevOPs Experience (source control, continuous integration, deployments, etc.)
  • Experience with containerization and related technologies (e.g. Docker, Kubernetes)
  • Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)

Additional Information:

Job Posted:
May 03, 2026

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